Literature DB >> 34023912

Development and assessment of a duplex droplet digital PCR method for quantification of GM rice Kemingdao.

Jun Li1, Shanshan Zhai1, Hongfei Gao1, Fang Xiao1, Yunjing Li1, Gang Wu2, Yuhua Wu3.   

Abstract

The implementation of genetically modified organism (GMO) labeling policies requires accurate quantitative methods to measure the GMO content in test samples. A Kemingdao/phospholipase D (KMD/PLD) duplex ddPCR method was established with rice genomic DNA (gDNA) of homozygous KMD as template by optimizing the annealing temperature and cycle number. Duplex ddPCR showed a linear response over the dynamic range from 68 to 175,000 copies, covering four orders of magnitude. The limit of detection (LOD) and limit of quantification (LOQ) for duplex ddPCR were determined to be 9 copies and 34 copies of the rice haploid genome, respectively. A very high dilution factor would result in unacceptable bias and coefficients of variation for determining copy number of the gDNA solution, and more than 1000 copies of the DNA template in one reaction is preferred to obtain accurate quantitative results by duplex PCR. Five blinded DNA samples with copy number ratio of 10%, 5%, 1%, 0.1%, and 0.05%, and three blinded real-life matrix samples with mass fraction of 5%, 1%, and 0.5% were quantified by duplex ddPCR, simplex ddPCR, and qPCR. These three methods all gave comparable GMO content and copy numbers within the required precision, but the duplex ddPCR showed the narrowest uncertainty interval and provided the highest precision in comparison to simplex ddPCR and qPCR. The ddPCR is a more appealing and reliable technology for the accurate quantification of GMO content than simplex ddPCR and qPCR considering the uncertainty and precision of quantitative results, the time consumption of generating droplets, and the cost of ddPCR reagents.

Entities:  

Keywords:  Comparison; Droplet digital PCR; GMO quantification; Genetically modified organisms; Kemingdao; Real-time quantitative PCR

Year:  2021        PMID: 34023912     DOI: 10.1007/s00216-021-03390-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  24 in total

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Authors:  B Vogelstein; K W Kinzler
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

2.  Development and validation of a multiplex real-time PCR method to simultaneously detect 47 targets for the identification of genetically modified organisms.

Authors:  Geoffrey Cottenet; Carine Blancpain; Véronique Sonnard; Poh Fong Chuah
Journal:  Anal Bioanal Chem       Date:  2013-07-07       Impact factor: 4.142

3.  Performance assessment of digital PCR for the quantification of GM-maize and GM-soya events.

Authors:  Geoffrey Cottenet; Carine Blancpain; Poh Fong Chuah
Journal:  Anal Bioanal Chem       Date:  2019-02-27       Impact factor: 4.142

4.  Digital PCR as an effective tool for GMO quantification in complex matrices.

Authors:  Alexandra Bogožalec Košir; Tina Demšar; Dejan Štebih; Jana Žel; Mojca Milavec
Journal:  Food Chem       Date:  2019-05-07       Impact factor: 7.514

5.  Two FAST multiplex real-time PCR reactions to assess the presence of genetically modified organisms in food.

Authors:  Geoffrey Cottenet; Carine Blancpain; Véronique Sonnard; Poh Fong Chuah
Journal:  Food Chem       Date:  2018-09-10       Impact factor: 7.514

6.  GMOMETHODS: the European Union database of reference methods for GMO analysis.

Authors:  Laura Bonfini; Marc H Van den Bulcke; Marco Mazzara; Enrico Ben; Alexandre Patak
Journal:  J AOAC Int       Date:  2012 Nov-Dec       Impact factor: 1.913

Review 7.  GMO quantification: valuable experience and insights for the future.

Authors:  Mojca Milavec; David Dobnik; Litao Yang; Dabing Zhang; Kristina Gruden; Jana Zel
Journal:  Anal Bioanal Chem       Date:  2014-08-16       Impact factor: 4.142

8.  Optimization and Verification of Droplet Digital PCR Even-Specific Methods for the Quantification of GM Maize DAS1507 and NK603.

Authors:  Katarzyna Grelewska-Nowotko; Magdalena Żurawska-Zajfert; Ewelina Żmijewska; Sławomir Sowa
Journal:  Appl Biochem Biotechnol       Date:  2017-11-06       Impact factor: 2.926

Review 9.  Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.

Authors:  Tigst Demeke; David Dobnik
Journal:  Anal Bioanal Chem       Date:  2018-03-24       Impact factor: 4.142

10.  Mathematical analysis of copy number variation in a DNA sample using digital PCR on a nanofluidic device.

Authors:  Simant Dube; Jian Qin; Ramesh Ramakrishnan
Journal:  PLoS One       Date:  2008-08-06       Impact factor: 3.240

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  1 in total

1.  Comparison of Real-Time PCR and Droplet Digital PCR for the Quantitative Detection of Lactiplantibacillus plantarum subsp. plantarum.

Authors:  Chang-Hun Choi; Eiseul Kim; Seung-Min Yang; Da-Som Kim; Seung-Man Suh; Ga-Young Lee; Hae-Yeong Kim
Journal:  Foods       Date:  2022-05-03
  1 in total

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